Uso de Chatbots para Diagnóstico e Tratamento de Portadores de Mal de Alzheimer
Resumo
A doença Mal de Alzheimer atinge cerca de 60 a 70% de pessoas que sofrem de demência. Esse quadro tem motivado o estudo e desenvolvimento de ferramentas que forneçam um tratamento mais adequado aos pacientes. Para evitar a sobrecarga da equipe médica e facilitar tanto o diagnóstico, quanto o acompanhamento de pacientes, o uso de Chatbots pode ser feito. Diversos trabalhos mostram essa possibilidade, sendo este artigo um de estudo inicial da aplicação de Chatbots na área da saúde. Essa ferramenta pode auxiliar o monitoramento e tratamento de portadores de Mal de Alzheimer.
Referências
Belfin, R. V., Shobana, A. J., Manilal, M., Mathew, A. A. e Babu, B. (2019) “A Graph Based Chatbot for Cancer Patients”. Em: 5th International Conference on Advanced Computing & Communication Systems, páginas 717-721, 978-1-5386-9533-3.
Chaix B., Bibault J. E., Pienkowski A., Delamon G., Guillemassé A., Nectoux P. e Brouard B. (2019) “When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot”. Em: JMIR Cancer, Volume 5(1): e12856, DOI: 10.2196/12856.
Griol D. e Molina J. M. (2015) “An Ambient Assisted Living Mobile Application for Helping People with Alzheimer”. Em: Springer International Publishing Switzerland, PAAMS, CCIS 524, páginas 3–14, DOI: 10.1007/978-3-319-19033-4 1.
Montenegro, J. M. F. e Argyriou V. (2017) “Cognitive evaluation for the diagnosis of Alzheimer’s disease based on Turing Test and Virtual Environments”. Em: Physiology & Behavior, Volume 173, páginas 42–51, DOI: 10.1016, 0031-9384.
Oh, K., Lee, D., Ko, B. e Choi, H. (2017) “A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation”. Em: 18th International Conference on Mobile Data Management, páginas 371-376, DOI: 10.1109/MDM.2017.64.
Piau A., Crissey R., Brechemier D., Balardy L., Nourhashemi F. (2019) “A smartphone Chatbot application to optimize monitoring of older patients with câncer”. Em: International Journal of Medical Informatics, Volume: 128, páginas 18-23.
Salichs, M. A., Encinar, I.P., Salichs, E., Castro-González, A. e Malfaz, M. (2016) “Study of Scenarios and Technical Requirements of a Social Assistive Robot for Alzheimer’s Disease Patients and Their Caregivers”. Em: International Journal of Social Robotics, Volume 8, páginas 85–102, DOI: 10.1007/s12369-015-0319-6.
Su, M., Wu, C., Huang, K., Hong, Q. e Wang, H. (2017) “A Chatbot Using LSTM-based Multi-Layer Embedding for Elderly Care”. Em: IEEE - International Conference on Orange Technologies, páginas 70-74, DOI: 10.1109/ICOT.2017.8336091.
Tascini, R. (2018) “AI-Chatbot: Elderly Aid”. Em: International Conference of Artificial Intelligence, páginas 339-344, CSREA. ISSN: 1-60132-480-4.
Tsai Y. T. e Lin W. (2018) “Design of an Intelligent Cognition Assistant for People with Cognitive Impairment”. Em: IEEE 20th International Conference on High Performance Computing and Communications, páginas: 1207-1212, DOI: 10.1109/HPCC/SmartCity/DSS.2018.00203.
WHO - World Health Organization and Alzheimer’s Disease International. (2012) “Dementia: a public health priority”. Relatório técnico, disponível em Acessado em: 11/08/2019.
Chaix B., Bibault J. E., Pienkowski A., Delamon G., Guillemassé A., Nectoux P. e Brouard B. (2019) “When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot”. Em: JMIR Cancer, Volume 5(1): e12856, DOI: 10.2196/12856.
Griol D. e Molina J. M. (2015) “An Ambient Assisted Living Mobile Application for Helping People with Alzheimer”. Em: Springer International Publishing Switzerland, PAAMS, CCIS 524, páginas 3–14, DOI: 10.1007/978-3-319-19033-4 1.
Montenegro, J. M. F. e Argyriou V. (2017) “Cognitive evaluation for the diagnosis of Alzheimer’s disease based on Turing Test and Virtual Environments”. Em: Physiology & Behavior, Volume 173, páginas 42–51, DOI: 10.1016, 0031-9384.
Oh, K., Lee, D., Ko, B. e Choi, H. (2017) “A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation”. Em: 18th International Conference on Mobile Data Management, páginas 371-376, DOI: 10.1109/MDM.2017.64.
Piau A., Crissey R., Brechemier D., Balardy L., Nourhashemi F. (2019) “A smartphone Chatbot application to optimize monitoring of older patients with câncer”. Em: International Journal of Medical Informatics, Volume: 128, páginas 18-23.
Salichs, M. A., Encinar, I.P., Salichs, E., Castro-González, A. e Malfaz, M. (2016) “Study of Scenarios and Technical Requirements of a Social Assistive Robot for Alzheimer’s Disease Patients and Their Caregivers”. Em: International Journal of Social Robotics, Volume 8, páginas 85–102, DOI: 10.1007/s12369-015-0319-6.
Su, M., Wu, C., Huang, K., Hong, Q. e Wang, H. (2017) “A Chatbot Using LSTM-based Multi-Layer Embedding for Elderly Care”. Em: IEEE - International Conference on Orange Technologies, páginas 70-74, DOI: 10.1109/ICOT.2017.8336091.
Tascini, R. (2018) “AI-Chatbot: Elderly Aid”. Em: International Conference of Artificial Intelligence, páginas 339-344, CSREA. ISSN: 1-60132-480-4.
Tsai Y. T. e Lin W. (2018) “Design of an Intelligent Cognition Assistant for People with Cognitive Impairment”. Em: IEEE 20th International Conference on High Performance Computing and Communications, páginas: 1207-1212, DOI: 10.1109/HPCC/SmartCity/DSS.2018.00203.
WHO - World Health Organization and Alzheimer’s Disease International. (2012) “Dementia: a public health priority”. Relatório técnico, disponível em
Publicado
03/10/2019
Como Citar
P. PINTO, Noemi; B. GARCIA, Ana Cristina.
Uso de Chatbots para Diagnóstico e Tratamento de Portadores de Mal de Alzheimer. In: PESQUISAS EM ANDAMENTO - SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 15. , 2019, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
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p. 99-104.
